Publication in BibTeX Format

@TECHREPORT{AICPub643:1983,
AUTHOR={Lowrance, John D. and Garvey, Thomas D.},
TITLE={Evidential Reasoning: An Implementation For Multisensor Integration},
ADDRESS={333 Ravenswood Ave., Menlo Park, CA 94025},
INSTITUTION={AI Center, SRI International},
MONTH={Dec},
NUMBER={307},
YEAR={1983},
KEYWORDS={Evidential Reasoning!Multisensor integration},
ABSTRACT={Reasoning from uncertain, incomplete, and sometimes inaccurate information
is necessary whenever any system is to interact in an intelligent way with
its environment. This follows directly from the fact that understanding the
world is possible only by perceiving it through a set of knowledge sources
that provide partially processed sensory information. Because of the limited
capabilities of any sensor, the information is inherently ``evidential.’’
That is, perceptual information is not readily captured in terms of simple
truths and falsities or in terms of probabilistic estimates, when the appropriate
statistical data are lacking. Therefore, neither logical nor standard probabilistic
reasoning techniques are uniformly applicable in this context.}
}